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Field
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learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework Simulation and analysis of batch and gradient elution
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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validate advanced drone technologies. The Centre serves as a national hub supporting all stages of drone innovation—from design and simulation to prototype development, testing and qualification. Facilities
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in several areas. These include, but are not limited to: Engage in research related to infrared radiative transfer modeling, IR sensor and camera system design or integration, and atmospheric
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
is also leading the development and validation of novel machine learning methods for LEGEND simulations and analysis. We have been heavily involved in constructing, commissioning, and operating
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
Graduate Teaching Program (GTP) information sessions GTA Workshop Ensure programs are inclusive, accessible, and aligned with graduate student and postdoc needs Postdoctoral Scholar Engagement Develop and
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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numerical simulations to reproduce and predict magnetically confined fusion plasma experiments 2.Development of transport models based on simulation data and their implementation into integrated transport
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the behavior of complex rotating machinery operating under extreme conditions. Through the integration of modeling, simulation, and experimental validation, the group supports the design, performance
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem